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Field
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of large-scale infrastructure and organisational complexity. This research stream goes beyond solving isolated engineering problems. It seeks to establish a new generation of AI-powered frameworks
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authorization. This gift funded role is expected to be one year in duration but may be renewed annually. Responsibilities Architect complex machine learning and scientific computing research projects, including
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Applicants are invited to apply for a Researcher (Research Assistant Level) position to work in the Marie Skłodowska-Curie Doctoral Network GLYCOCALYX. GLYCOCALYX brings together 15 leading European partners
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding
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or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation of complex socio-technical or organisational systems causal inference, econometric analysis, or formal
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Maritime Navigation, partially funded within, Operational Zero Emission Ferries - Safe and Efficient Human-Autonomy Teaming in Complex Maritime Transport Systems, (BZERO). The position will be affiliated
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will investigate the complex interplay between information security and cyberspace security through a sociotechnical lens. Your research should demonstrate an equal commitment to understanding social
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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computational tools and algorithms, including emerging AI/ML based approaches, for genome annotation, comparative genomics, and multi-omics analyses, with particular attention to the challenges of complex